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題名 透明性與情緒：框架效應對隱私邊界揭露之情緒反應的影響
Transparency and Emotion: The Influence of Framing on Emotional Responses to Privacy Boundary Disclosures
作者 蔡欣妤
貢獻者 周致遠
Chou, Chih-Yuan
蔡欣妤
關鍵詞 框架效應
隱私邊界揭露
認知評估理論
情緒反應
Framing
Privacy boundary disclosure
Cognitive appraisal theory
Emotional response
日期 2025
上傳時間 2-Mar-2026 12:21:06 (UTC+8)
摘要 本研究探討平台在隱私邊界揭露情境中，如何透過框架策略影響使用者的認知評估與情緒反應。儘管資訊透明化已成為數位平台合規與建立信任的核心手段，揭露本身卻可能引發隱私邊界動盪，誘發焦慮與憤怒等負向情緒，進而削弱使用者的參與意願與信任感。為回應此一挑戰，本研究結合認知評估理論，將情緒生成機制區分為兩大評估向度：感知控制與感知公平，並分別對應恐懼、焦慮與憤怒。研究採用序列式混合方法，透過兩項實驗與質性訪談，系統性地檢驗不同類型的框架設計（控制導向、公平導向）如何影響使用者的評估與情緒結果。研究結果顯示，控制增強框架有助於引導使用者的感知控制，進而緩解焦慮與恐懼；而公平增強框架則有助於建立感知公平，進而減輕憤怒情緒。此結果證實了使用者的認知評估（感知控制與感知公平）正是決定其負向情緒反應的關鍵心理機制。本研究擴展了認知評估理論於數位隱私領域的應用，也為平台提供設計情緒調節導向隱私揭露的具體策略，有助於在確保資訊透明的同時，減輕使用者的情緒抵觸，促進平台信任與互動參與。
This study investigates how to mitigate negative emotions arising from "privacy boundary turbulence"—a common side effect of platform transparency disclosures. Drawing on cognitive appraisal theory (CAT), we examine how "framing" strategies can regulate user anxiety and anger by targeting two key pathways: perceived control and perceived fairness. Using a mixed-methods design with two experiments and interviews, we tested control- and fairness-enhancing frames. Findings show these frames successfully influence their corresponding appraisals, which in turn mediate emotional outcomes: perceived control predicts anxiety and fear, while perceived fairness predicts anger. This research extends CAT into the privacy domain and offers practical guidance for designing emotionally-attuned disclosures that balance transparency with user trust.
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MIS Quarterly, 35(4), 1017–1041. https://doi.org/10.2307/41409971 Bies, R. J., & Shapiro, D. L. (1987). Interactional fairness judgments: The influence of causal accounts. Social Justice Research, 1(2), 199–218. https://doi.org/10.1007/BF01048016 Brandimarte, L., Acquisti, A., & Loewenstein, G. (2013). Misplaced confidences: Privacy and the control paradox. Social Psychological and Personality Science, 4(3), 340–347. https://doi.org/10.1177/1948550612455931 Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa Charness, G., Gneezy, U., & Kuhn, M. A. (2012). Experimental methods: Between-subject and within-subject design. Journal of Economic Behavior & Organization, 81(1), 1–8. https://doi.org/10.1016/j.jebo.2011.08.009 Choi, H., Park, J., & Jung, Y. (2018). The role of privacy fatigue in online privacy behavior. Computers in Human Behavior, 81, 42–51. https://doi.org/10.1016/j.chb.2017.12.001 Colquitt, J. A. (2001). On the dimensionality of organizational justice: A construct validation of a measure. Journal of Applied Psychology, 86(3), 386–400. https://doi.org/10.1037/0021-9010.86.3.386 Culnan, M., & Bies, R. (2003). Consumer privacy: Balancing economic and justice considerations. Journal of Social Issues, 59, 323–342. https://doi.org/10.1111/1540-4560.00067 Culnan, M. J., & Armstrong, P. K. (1999). Information privacy concerns, procedural fairness, and impersonal Trust: An empirical investigation. Organization Science, 10(1), 104–115. https://doi.org/10.1287/orsc.10.1.104 Dehling, T., & Sunyaev, A. (2024). A design theory for transparency of information privacy practices. Information Systems Research, 35(3), 956–977. https://doi.org/10.1287/isre.2019.0239 Devasagayam, P., & Buff, C. (2008). A multidimensional conceptualization of brand community: An empirical investigation. Sports Marketing Quarterly, 17(1), 20–29. https://doi.org/10.1177/106169340801700103 Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly, 39(2), 297–316. https://doi.org/10.25300/MISQ/2015/39.2.02 Dinev, T., & Hart, P. (2006). An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17(1), 61–80. https://doi.org/10.1287/isre.1060.0080 Douglas, B. D., Ewell, P. J., & Brauer, M. (2023). Data quality in online human-subjects research: Comparisons between mturk, prolific, CloudResearch, qualtrics, and SONA. PLOS ONE, 18, 1–17. https://doi.org/10.1371/journal.pone.0279720 Druckman, J. N. (2001). The implications of framing effects for citizen competence. Political Behavior, 23(3), 225–256. https://doi.org/10.1023/A:1015006907312 Entman, R. (1993). Framing: Toward clarification of a fractured paradigm. 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Fear, anger, and risk. Journal of Personality and Social Psychology, 81(1), 146–159. https://doi.org/10.1037/0022-3514.81.1.146 Li, H., Luo, X. (Robert), Zhang, J., & Xu, H. (2017). Resolving the privacy paradox: Toward a cognitive appraisal and emotion approach to online privacy behaviors. Information & Management, 54(8), 1012–1022. https://doi.org/10.1016/j.im.2017.02.005 Li, H., Sarathy, R., & Xu, H. (2010). Understanding situational online information disclosure as a privacy calculus. Journal of Computer Information Systems, 51(1), 62–71. https://doi.org/10.1080/08874417.2010.11645450 Li, H., Sarathy, R., & Xu, H. (2011). The role of affect and cognition on online consumers’ decision to disclose personal information to unfamiliar online vendors. Decision Support Systems, 51(3), 434–445. https://doi.org/10.1016/j.dss.2011.01.017 Lowry, P., Zhang, J., Wang, C., & Siponen, M. (2016). Why do adults engage in cyberbullying on social media? 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描述 碩士
國立政治大學
資訊管理學系
112356029
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0112356029
資料類型 thesis
dc.contributor.advisor 周致遠zh_TW
dc.contributor.advisor Chou, Chih-Yuanen_US
dc.contributor.author (Authors) 蔡欣妤zh_TW
dc.creator (作者) 蔡欣妤zh_TW
dc.date (日期) 2025en_US
dc.date.accessioned 2-Mar-2026 12:21:06 (UTC+8)-
dc.date.available 2-Mar-2026 12:21:06 (UTC+8)-
dc.date.issued (上傳時間) 2-Mar-2026 12:21:06 (UTC+8)-
dc.identifier (Other Identifiers) G0112356029en_US
dc.identifier.uri (URI) https://ah.lib.nccu.edu.tw/item?item_id=181441-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理學系zh_TW
dc.description (描述) 112356029zh_TW
dc.description.abstract (摘要) 本研究探討平台在隱私邊界揭露情境中，如何透過框架策略影響使用者的認知評估與情緒反應。儘管資訊透明化已成為數位平台合規與建立信任的核心手段，揭露本身卻可能引發隱私邊界動盪，誘發焦慮與憤怒等負向情緒，進而削弱使用者的參與意願與信任感。為回應此一挑戰，本研究結合認知評估理論，將情緒生成機制區分為兩大評估向度：感知控制與感知公平，並分別對應恐懼、焦慮與憤怒。研究採用序列式混合方法，透過兩項實驗與質性訪談，系統性地檢驗不同類型的框架設計（控制導向、公平導向）如何影響使用者的評估與情緒結果。研究結果顯示，控制增強框架有助於引導使用者的感知控制，進而緩解焦慮與恐懼；而公平增強框架則有助於建立感知公平，進而減輕憤怒情緒。此結果證實了使用者的認知評估（感知控制與感知公平）正是決定其負向情緒反應的關鍵心理機制。本研究擴展了認知評估理論於數位隱私領域的應用，也為平台提供設計情緒調節導向隱私揭露的具體策略，有助於在確保資訊透明的同時，減輕使用者的情緒抵觸，促進平台信任與互動參與。zh_TW
dc.description.abstract (摘要) This study investigates how to mitigate negative emotions arising from "privacy boundary turbulence"—a common side effect of platform transparency disclosures. Drawing on cognitive appraisal theory (CAT), we examine how "framing" strategies can regulate user anxiety and anger by targeting two key pathways: perceived control and perceived fairness. Using a mixed-methods design with two experiments and interviews, we tested control- and fairness-enhancing frames. Findings show these frames successfully influence their corresponding appraisals, which in turn mediate emotional outcomes: perceived control predicts anxiety and fear, while perceived fairness predicts anger. This research extends CAT into the privacy domain and offers practical guidance for designing emotionally-attuned disclosures that balance transparency with user trust.en_US
dc.description.tableofcontents CHAPTER 1. INTRODUCTION 1 CHAPTER 2. LITERATURE REVIEW 3 2.1 The Unintended Consequence of Privacy Transparency: Emotional Resistance 3 2.2 Cognitive Appraisal Theory 5 2.2.1 Primary Emotional Responses and Underlying Appraisals 6 2.2.2 Categorizing Appraisal Dimensions into Two Pathways 8 2.3 Framing 10 2.3.1 Framing Category 10 CHAPTER 3. RESEARCH FRAMEWORK 12 3.1 Research Model 12 3.2 Hypothesis Development 13 3.2.1 Hypothesis Development 13 3.2.2 Construct Measurement 16 3.2.3 Control Variables 19 CHAPTER 4. RESEARCH METHODOLOGY 21 4.1 Data Collection 21 4.1.1 Sample Size and Recruitment 23 4.2 Study 1: Manipulation Check of Framing on Appraisal 25 4.3 Study 2: Investigating the Emotional Impact of Framing 25 4.4 Data Analysis 26 4.4.1 Quantitative data 26 4.4.2 Qualitative data 27 CHAPTER 5. RESEARCH RESULTS 29 5.1 Sample Characteristics 29 5.2 Study 1: Manipulation Check 31 5.3 Study 2 34 5.3.1 Measurement Model Evaluation 34 5.3.1.1 Construct Reliability 34 5.3.2 Structural Model Evaluation 37 5.4 Qualitative Insights 40 5.4.1 The Baseline Reality: The Rationale for Framing Interventions 40 5.4.2 Navigating the Authenticity Test: The Success Pathway of the Control-Enhancing Framing 41 5.4.3 Winning the Trust Gamble: The Persuasive Path of the Fairness-Enhancing Framing 42 5.4.4 The Conditional Role of Framing in Trust Building 43 CHAPTER 6. DISCUSSION 45 6.1 Interpretation of Results 45 6.2 Theoretical Contributions 46 6.3 Practical Contributions 47 6.4 Limitations and Future Research 48 CHAPTER 7. CONCLUSIONS 50 REFERENCES 52 APPENDIX A: FRAMING MANIPULATION CONDITIONS 61 APPENDIX B: INTERVIEW PROTOCOL 62zh_TW
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0112356029en_US
dc.subject (關鍵詞) 框架效應zh_TW
dc.subject (關鍵詞) 隱私邊界揭露zh_TW
dc.subject (關鍵詞) 認知評估理論zh_TW
dc.subject (關鍵詞) 情緒反應zh_TW
dc.subject (關鍵詞) Framingen_US
dc.subject (關鍵詞) Privacy boundary disclosureen_US
dc.subject (關鍵詞) Cognitive appraisal theoryen_US
dc.subject (關鍵詞) Emotional responseen_US
dc.title (題名) 透明性與情緒：框架效應對隱私邊界揭露之情緒反應的影響zh_TW
dc.title (題名) Transparency and Emotion: The Influence of Framing on Emotional Responses to Privacy Boundary Disclosuresen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) Adjerid, I., & Acquisti, A. (2019). Choice architecture, framing, and cascaded privacy choices. Management Science, 65, 1949–2443. https://doi.org/10.1287/mnsc.2018.3028 Bakici, T. (2020). Comparison of crowdsourcing platforms from social-psychological and motivational perspectives. International Journal of Information Management, 54, 102121. https://doi.org/10.1016/j.ijinfomgt.2020.102121 Barlow, D. H. (2000). Unraveling the mysteries of anxiety and its disorders from the perspective of emotion theory. American Psychologist, 55(11), 1247–1263. https://doi.org/10.1037/0003-066X.55.11.1247 Beaudry, A., & Pinsonneault, A. (2005). Understanding user responses to information technology: a coping model of user adaptation. MIS Quarterly, 29(3), 493–524. https://doi.org/10.2307/25148693 Bélanger, F., & Crossler, R. E. (2011). Privacy in the digital age: A review of information privacy research in information systems. MIS Quarterly, 35(4), 1017–1041. https://doi.org/10.2307/41409971 Bies, R. J., & Shapiro, D. L. (1987). Interactional fairness judgments: The influence of causal accounts. Social Justice Research, 1(2), 199–218. https://doi.org/10.1007/BF01048016 Brandimarte, L., Acquisti, A., & Loewenstein, G. (2013). Misplaced confidences: Privacy and the control paradox. Social Psychological and Personality Science, 4(3), 340–347. https://doi.org/10.1177/1948550612455931 Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa Charness, G., Gneezy, U., & Kuhn, M. A. (2012). Experimental methods: Between-subject and within-subject design. Journal of Economic Behavior & Organization, 81(1), 1–8. https://doi.org/10.1016/j.jebo.2011.08.009 Choi, H., Park, J., & Jung, Y. (2018). The role of privacy fatigue in online privacy behavior. 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